Long-term prognosis associated with coronary calcification: observations from a registry of 25,253 patients.

By M. Budoff, L. Shaw, Sandy Liu, S. Weinstein, Tristen P Mosler, Philip H. Tseng, F. Flores, T. Callister, P. Raggi, D. Berman. Journal of the American College of Cardiology, 2007

1,423 citations recorded by the source corpus.

Subfields: Nephrology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/65a9cc9e9d69bd5df66190cbda21569fdf998afd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pulmonary and Respiratory Medicine

1. I. Graham
2. Børge G. Nordestgaard
3. J. Bentzon

In Radiology, Nuclear Medicine and Imaging

1. Marja-Riitta Taskinen
2. I. Graham
3. J. Bentzon
4. Ulrich Laufs

Citations in the corpus

• Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis (2016, result): “The emphasis placed on this variable over others is in alignment with prior studies using invasive coronary angiography, but ignores an array of other variables important in the CAD pathogenic process, including coronary calcium content, plaque composition, and plaque burden.(2,25) As an increasing ”
• Low-density lipoproteins cause atherosclerotic cardiovascular disease: pathophysiological, genetic, and therapeutic insights: a consensus statement from the European Atherosclerosis Society Consensus Panel (2020, background): “Arterial calcification is an established marker of atherosclerotic disease,(192,193) and the severity of coronary artery calcification is a strong predictor of cardiovascular morbidity and mortality.(194,195) Yet whether coronary artery calcium (CAC) is simply a marker of advanced disease, or whethe”